Top Tech Jobs & Startup Jobs

Own full-stack product features from customer discovery through delivery and iteration. Work directly with technical customers, build frontend and backend solutions, support proofs of concept and post-sales success, and convert feedback into reusable platform capabilities. Use AI coding tools daily while operating with strong product judgment, end-to-end ownership, and concise communication in a fast-moving startup environment.

Own the end-to-end design of a consumer-facing web product, identifying usability issues, designing user flows and interfaces, prototyping, testing, and shipping improvements. Collaborate closely with founders and engineers, maintain a shared interface pattern library, implement frontend changes using AI coding tools, and iterate through user observation and experimentation. The role requires strong product design craft, frontend familiarity, startup experience, and on-site work in San Francisco.

Lead and grow an engineering team while remaining hands-on in coding, design reviews, and debugging. Deliver customer-facing AI products, mentor senior engineers, manage recruiting and onboarding, and partner with business and customer-facing teams on product decisions. The role requires strong backend expertise, engineering management experience, and familiarity with machine learning or AI-driven systems.

Build and maintain scalable third-party API integrations, orchestrated data workflows, and production pipelines. Investigate incidents, improve system resilience, and develop backend projects through requirements, implementation, testing, deployment, and monitoring. Collaborate with senior and customer-facing engineers to convert field feedback into reliable product capabilities.

Designs and builds production interfaces for complex workflows, translating customer feedback into polished product experiences. Owns product flows from concept through launch, collaborates directly with founders and users, creates designs, and contributes code to the production codebase. The role requires strong product design judgment, front-end engineering skills, startup experience, and on-site work five days per week.

Lead frontend architecture and development for a consumer-facing fintech web product. Build responsive transaction and account screens, manage client-side state and live data updates, shape APIs and transaction flows, and partner with founders on product and engineering priorities. The role suits an early engineer who can launch polished web experiences, prioritize performance and stability, and work effectively in a lean, fast-moving environment.

Own client-facing projects from scoping through completion, lead cross-functional specialist teams, collaborate on research, manage client relationships, and drive company-wide operational initiatives. The role requires strong communication, stakeholder management, high agency, and experience testing systems for weaknesses through security testing, red-teaming, trust and safety, or similar work. This is an on-site role in San Francisco with a broad scope suited to an early team member.

Build and ship AI-driven automation features across backend and user-facing interfaces. Develop production LLM workflows, evaluation frameworks, safety guardrails, contextual data ingestion and indexing, and AI-assisted development tools. Collaborate with internal users to turn ambiguous problems into reliable software and establish engineering patterns for the wider team.

Own and administer the enterprise financial planning platform, including data feeds, hierarchies, models, and reporting. Lead budgeting, forecasting, and variance analysis across business P&Ls. Translate financial models for executives, configure planning tools, and develop AI agents and workflow automations for finance processes. Partner with Accounting and IT to maintain data accuracy, reconcile cost centers, and train users.

Lead a small engineering team while remaining hands-on in production coding. Deliver scalable product features, make architecture decisions with the CTO, apply AI-assisted development workflows, mentor engineers, and contribute to machine learning and product roadmaps. The role requires full-stack expertise with backend strength, applied machine learning knowledge, startup or core product ownership, and on-site work in New York City.